Learning in Homer

Learning in Homer

Homer is only capable of learning facts. In this, it is limited to knowledge it can learn through its sensors, natural language processor, and monitor processes. It does not have any learning techniques other than these. So it is not able to acquire knowledge through experience that can improve its performance. The agents two main intelligent behaviors, NLP and planning, cannot be improved through learning. Homer does not learn new vocabulary nor methods to speed his interpretation and generation of natural language text. And Homer's planner does not get better through experience.


Return to the top of this architecture.

Go to a discussion of this capability for multiple architectures.


Current Location: Homer-Capabilities-Learning

Go to NEXT page.